Working with Poor Data
When reality is messy, be explicit about assumptions.
Key points
- Surface data freshness and coverage on the page.
- Use tooltips/footnotes for known issues.
- Prefer robust visuals (bars/lines) over fragile ones (pies) when data is noisy.
Tips
- Start with a ‘Data Quality’ KPI card.
- Add links to data definitions and owners.